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For Companies At a Glance
- Tasks: Design and develop advanced ML and NLP technologies to revolutionise healthcare.
- Company: Join a leading global provider of clinical research services and healthcare intelligence.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare with cutting-edge AI technology.
- Qualifications: 6 years in AI/NLP, strong Python skills, and experience in production-grade solutions.
- Other info: Collaborative team culture with opportunities for mentorship and knowledge sharing.
The predicted salary is between 48000 - 72000 £ per year.
We’re looking for a Senior AI Engineer who is passionate about improving healthcare through cutting-edge technology. In this role, you will contribute hands-on to the design, development, and deployment of advanced ML and NLP technologies powering Patient Finder. You’ll work on impactful projects such as Generative AI, Named Entity Recognition/Linking (NER/NEL), multilingual NLP, and continuous learning on complex healthcare datasets. This is a unique opportunity to define the future of AI in healthcare—focusing on deep technical contributions and end-to-end ownership of ML solutions.
Key Responsibilities
- Design, build, and maintain robust, scalable ML and NLP solutions for production environments.
- Contribute directly to the codebase, designing and implementing robust, scalable AI solutions for production environments.
- Collaborate with other development teams to ensure seamless integration of AI components with our search engine and data warehouse.
- Apply best practices in software engineering, testing, observability, and CI/CD for ML systems.
- Support the internationalization of NLP components across multiple languages.
- Work closely with the Product Owner and engineering teams to translate requirements into high-quality ML deliverables.
- Research and apply state-of-the-art NLP and ML methodologies.
- Share expertise with peers, contribute to knowledge-sharing sessions, and mentor junior engineers informally.
Requirements
- 6 years of industry experience in AI/NLP, with a strong track record of hands-on software engineering and delivering production-grade solutions.
- Proficiency in Python for ML/NLP tasks; other languages (e.g., Go, Rust, Java) are a plus.
- Strong software engineering fundamentals and experience integrating ML systems into production environments.
- Expertise in supervised and unsupervised learning, deep learning, and NLP.
- Ability to communicate technical concepts clearly to cross-functional teams.
- Experience with production-grade ML/NLP deployments.
- Strategic thinking around data science product planning under uncertainty.
- Holistic understanding of ML pipelines within larger systems.
- Strong problem-solving and critical thinking skills.
- Ability to read and implement ideas from scientific papers.
- Excellent English communication skills (written and verbal).
Nice to Have
- Experience in healthcare, life sciences, clinical trials, or pharmaceutical data.
- Based in the Netherlands, to occasionally join in-person team and company activities.
About Us
The Patient Finder team includes ~30 professionals across App, Data, and AI/ML squads, plus QA, Deployment, Support, and Consultancy. We’re part of IQVIA’s broader healthcare product portfolio across EMEA. Flexible work environment: choose between office, home, or hybrid. We host monthly team days and some squads meet weekly. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.
Senior AI Engineer in London employer: IQVIA
Contact Detail:
IQVIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ML and NLP. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with ML and NLP technologies, especially any projects that relate to healthcare. We want to see how your skills align with our mission!
Showcase Your Projects: Include specific examples of your past work in AI/NLP. If you've worked on generative AI or multilingual NLP, let us know! We love seeing hands-on experience that demonstrates your ability to deliver production-grade solutions.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your technical skills and experiences. Remember, we appreciate good communication skills, so make it easy for us to understand your expertise!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at IQVIA
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest ML and NLP technologies, especially those mentioned in the job description. Brush up on your Python skills and be ready to discuss your experience with production-grade solutions. Being able to talk confidently about your past projects will show that you’re the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Think of examples where you applied strategic thinking in uncertain situations, particularly in AI or healthcare contexts. This will demonstrate your critical thinking abilities and how you can contribute to impactful projects.
✨Communicate Clearly and Effectively
Since you'll be working with cross-functional teams, practice explaining complex technical concepts in simple terms. You might be asked to describe your approach to a project or a specific technology, so being clear and concise will help you stand out. Remember, communication is key!
✨Be Ready to Collaborate
The role involves working closely with other teams, so be prepared to discuss how you’ve successfully collaborated in the past. Think about how you can contribute to knowledge-sharing sessions and mentor junior engineers. Showing that you’re a team player will resonate well with the interviewers.
